[Numpy-discussion] Schedule for 1.5.1?

josef.pktd@gmai... josef.pktd@gmai...
Fri Oct 8 13:17:28 CDT 2010


On Fri, Oct 8, 2010 at 1:55 PM, Pauli Virtanen <pav@iki.fi> wrote:
> Fri, 08 Oct 2010 13:28:01 -0400, josef.pktd wrote:
> [clip]
>> I think I clarified the doc string enough that user that read the
>> docstring don't get confused anymore.
>> http://docs.scipy.org/numpy/docs/numpy.random.mtrand.RandomState.pareto/
>>
>> At least the first part is explicit about it, the notes refer to pareto
>> in general or pareto 1 (formula is for pareto 1)
>
> I read this part:
>
> """
> The classical Pareto distribution can be obtained from the Lomax
> distribution by adding the location parameter m, see below. The smallest

"adding" is in the sense of rvs +  m

s = np.random.pareto(a, 1000) + m

not that the distribution has an added location parameter

I will check my notes, and try to rewrite it in a clearer way.


> value of the Lomax distribution is zero while for the classical Pareto
> distribution it is m, where the standard Pareto distribution has location
> m=1.
> """
>
> and understood it as follows (with no prior knowledge what a Pareto
> distribution is):
>
> """
> The difference between Pareto and Lomax is that Lomax has an added
> parameter `m`. The Pareto distribution is obtained from Lomax by setting
> m=1.
> """
>
> Which is of course wrong. So I think it would still pay off to rephrase
> this. I'd also write down the PDF of the Lomax distribution in the Notes
> to reduce confusion.

ok, will do

Josef

>
>        Pauli
>
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